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 Biostatistics 140.623
 Statistical Methods in Public Health III

  Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

	Quiz 1 Solution  age expressed in years (not months)
	Announcements

 Third Term
 January 24 - March 15, 2012

INSTRUCTORS: 

LECTURES:

10:30 am-12 pm Tuesday, Thursday

• Section 01:  Sommer Hall  (Room E2014)

• Section 02:  Sheldon Hall (Room W1214)

• Overflow room:  W3030

LABS for review of material through a structured exercise and time for questions:   Lab 1: Monday 1:30 PM - 3:00 PM  Hygiene W3008 Lab 2: Tuesday 1:30 PM - 3:00 PM  Hygiene W3008 Lab 3: Wednesday  1:30 PM - 3:00 PM  Hygiene W3008 Lab 4: Thursday 1:30 PM - 3:00 PM  Hygiene W3008 Lab 5:  Friday 1:30 PM - 3:00 PM  Hygiene W3008 Lab 6: Monday 3:30 PM - 5:00 PM  Hygiene W3008 Lab 7: Tuesday 3:30 PM - 5:00 PM  Hygiene W3008 Lab 8: Wednesday  3:30 PM - 5:00 PM  Hygiene W3008 Lab 9: Thursday 3:30 PM - 5:00 PM  Hygiene W3008 Note: 3:00 - 3:30PM is open time for questions COMPUTER LAB for STATA help:     (starting Wednesday, January 25, optional) Monday - Friday 2:30 - 3:20 PM Hygiene W3025

LAB INSTRUCTORS:

• Marie Diener-West

• Ani Eloyan

• John McGready

• Rob Scharpf

TEACHING ASSISTANTS: (photos)

Johnny Gallis Seung Hee Lee Sun Eun Lee Katherine Lin Yi Lu                Paige Maas Thomas Prior Ah Young Shin          Rinda Soong  Yifei Sun Elizabeth Sweeney Shu-yi Wang Yenny Webb Vargas Sherlly Xie Juemin Yang Jing-yan Yang

OFFICE HOURS for Teaching Assistants   (starting Wednesday, Jan 25)   Mon thru Fri 12:15 PM  - 1:15 PM         W2009

COMPUTER LAB for Stata help   (starting Wednesday, Jan 25) Mon thru Fri 2:30 PM  - 3:20 PM   Hygiene W3025

LECTURE NOTES: Copies of the course materials are distributed during class. Purchase of these materials is included in registration. Copies of most materials are available for downloading in the "Classes" section of the course web site. Acrobat Reader is needed for opening the course materials on the website. Download Acrobat Reader

WEB SITE: Available through CoursePlus or http://biostat.jhsph.edu/courses/bio623 Userid:  bio623 Password:  (given in class) Contains course schedule, office hours, lecture notes, self-evaluation problems, Stata lecture notes, problem sets, quizzes, solution keys, and data sets.

AUDIO FILES: An audio of each lecture is available on the course website in the "Classes" section after each lecture.

TEXTBOOK: Suggested book: Lawrence C. Hamilton. Statistics with Stata 10 2009, Duxbury, Thomson Brooks/Cole, Belmont, CA.   Recommended book for which we will provide reading assignments: Bernard Rosner, Fundamentals of Biostatistics, 2011,  Duxbury, Thomson Brooks/Cole, Belmont, CA. Online Hypertext Book

CALCULATOR: Basic functions (+, -, x, ÷), logarithms and exponents, simple memory and recall, factorial key.

COMPUTING PACKAGE: Stata 12 Intercooled, Stata Press, College Station, Texas (Buy at http://www.stata.com/order/new/edu/gradplans/gp-direct.html)

Course Policies: Attendance is required for quizzes and exams and expected for lectures and labs. Laptops and iPads may be used during lecture for class-related purposes. Common courtesy should be followed. Please email your faculty lecturer regarding extenuating circumstances or conflicts regarding course deadlines. Availability for course questions: after lecture, during labs, TA office hours, and Stata office hours. GRADING (total of 100) based on: 20% completion of 4 problem sets (points deducted if turned in late) 5% Quiz 1 (in class) 5% Quiz 2 (in class)   35% Midterm examination (in class) 35% Final examination (in class) Contact your section lecturer if you have a conflict, illness, or other issue. Quizzes and examinations are individual work for which a student must work by himself or herself. Problem sets may be worked on together and discussed. However, each student must write up the problem set individually using his or her own words. Copying work is not allowed. Disability Support Services If you are a student with a documented disability who requires an academic accommodation, please contact Betty H. Addison in the Office of Career Services and Disability Support: dss@jhsph.edu, 410-955-3034, or Room E-1140. Academic Ethics Code The code, discussed in the Policy and Procedure Memorandum for Students, March 31, 2002, will be adhered to in this class (https://my.jhsph.edu/Resources/PoliciesProcedures/ppm/Policy ProcedureMemoranda/Students 01 Academic Ethics.pdf) Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University.

COURSE OBJECTIVES: Students who successfully master this course will be able to: Use statistical reasoning to formulate public health questions in quantitative terms: Understand the role of statistical reasoning within the scientific model. Understand and apply the counterfactual definition of cause in public health research. Distinguish between continuous, categorical, binary and time-to-event data. Understand that evidence for establishing an association between a risk factor and health outcome is generated by comparing the distribution of the outcome in otherwise similar populations with different levels of the risk factor. Use stratification in design and analysis to minimize confounding and  identify risk modification.   Conduct statistical computations and construct graphical and tabular displays for regression analysis:   Use the statistical analysis package Stata to perform multivariable regression models. Document and archive the steps of your statistical analysis by creating a Stata do-file. Create and interpret scatterplots and adjusted variable plots that display the relationships between an outcome and multiple risk factors. Create and interpret tables of regression results including unadjusted and adjusted estimates of coefficients with confidence intervals from many models.   Use probability models to describe trends and random variation in public health data:   Distinguish between the underlying probability distributions for modeling continuous, categorical, binary and time-to-event data. Recognize the key assumptions underlying a multivariable regression model and judge whether departures in a particular application warrant consultation with a statistical expert.   Use statistical methods for inference in multiple regression to draw valid public health inferences from data:   Conduct a simple linear, logistic or survival regression and correctly interpret the regression coefficients and their confidence interval. Conduct a multiple linear, logistic or survival regression and correctly interpret the coefficients and their confidence intervals. Examine residuals and adjusted variable plots for inconsistencies between the regression model and patterns in the data and for outliers and high leverage observations. Fit and compare different models to explore the association between outcome and predictor variables in an observational study. The course is designed to enable students to develop their data analysis skills.  Four important datasets will be analyzed by the students using the statistical package Stata throughout the 621-624 course sequence.

OTHER LINKS  

• Graphical Interpretations of Regression Coefficients 
   

• Useful articles on the bootstrap

  • Champkin 2010

  • Boos and Stefanksi 2010
     

• "Fine Particulate Air Pollution and Mortality in 20 U.S. Cities"
  by Samet, Zeger, et al   (view article) 

• Stata Working Directories

• Stata Graphs using the Menus

• About Stata do-files  

• Data: Singular or Plural

• How juries are fooled by statistics

• Other Links to Math Trick

• Recommended Survival Analysis Text Books

• Gas Emissions and the Economy

• Biostatistics Poetry -2007

• Biostatistics Poetry, Musings and Art -- 2008

• Biostatistics Recipes    

• Biostatistics Poetry, etc                   

• Final Exam Formula Page

• Review of Biostatistics 622 Final Exam
  • Audio:
    • Part 1
    • Part 2
  • Final exam
  • Final exam solution

• Department of Biostatistics

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